IEEE

MMEVAE: A Time-Varying Rolling Bearing Data Enhancement Method Based on a Multimodal Mechanism Enhanced Variational Autoencoder and Self-Attention Module

Abstract: Variational autoencoder (VAE) is widely used as a data enhancement technique. However, it faces challenges with inaccurate potential spatial distribution and poor reconstruction quality when ...
IEEE

Cross-Mode Jointly Shared-Specific Variational Graph Attention Autoencoder for Soft Sensor Application in Multimode Industrial Process

Abstract: Accurate online detection or prediction of key quality variables provides critical reference information for optimizing and controlling operating variables in industrial processes. However, ...
GitHub

Raghav0079/Variational-Lossy-Autoencoder

This repository provides an implementation of the Variational Lossy Autoencoder (VLAE) for the MNIST dataset, featuring a conditional prior. The project explores lossy compression and generative ...
GitHub

Variational Autoencoder for Anomaly Detection

This project presents a comprehensive implementation of a Variational Autoencoder system designed for unsupervised anomaly detection in high-dimensional datasets. The implementation emphasizes ...